# Specification Quality Checklist: AI Model Revision (ADR-023A)

**Purpose**: Validate specification completeness and quality before proceeding to planning
**Created**: 2026-05-15
**Feature**: [spec.md](../spec.md)

## Content Quality

- [x] No implementation details (languages, frameworks, APIs) — spec describes WHAT not HOW
- [x] Focused on user value and business needs
- [x] Written for both technical and non-technical stakeholders
- [x] All mandatory sections completed

## Requirement Completeness

- [x] No [NEEDS CLARIFICATION] markers remain — all resolved in Clarifications session
- [x] Requirements are testable and unambiguous
- [x] Success criteria are measurable (SC-001 through SC-008 with specific metrics)
- [x] Success criteria are technology-agnostic (no framework specifics)
- [x] All acceptance scenarios are defined (4 User Stories with scenarios)
- [x] Edge cases are identified (6 edge cases documented)
- [x] Scope is clearly bounded (AI pipeline only — DMS core workflow not in scope)
- [x] Dependencies and assumptions identified

## Feature Readiness

- [x] All functional requirements have clear acceptance criteria
- [x] User stories cover primary flows (Upload, RAG, Migration, Monitoring)
- [x] Feature meets measurable outcomes defined in Success Criteria
- [x] No implementation details leak into specification

## Notes

- Spec derived from ADR-023A grilling session (2026-05-15) — all decisions validated
- Quality: PASS — ready for `/speckit-plan`